Senior Data Scientist

📋 Description

• Design and maintain end-to-end ML systems for demand forecasting, pricing, LTV, and churn.
• Establish best practices for experimentation, reproducibility, and model evaluation; uncover insights from complex datasets.
• Collaborate with cross-functional teams to translate business needs into scalable ML solutions.
• Collaborate with stakeholders to propose and drive scalable DS solutions; communicate tradeoffs clearly.
• Design and evolve shared ML pipelines, tooling, and standards to scale safely.

🎯 Requirements

• Bachelor's or Master's in Data Science, CS, Mathematics, or related field.
• Minimum 5 years in a data science or ML engineering role.
• Proven track record deploying ML models into production; AWS (SageMaker, EC2, S3, Lambda, Step Functions).
• Experience with cloud-based ML platforms (AWS SageMaker or equivalents).
• Ability to translate business challenges into ML problems; strong communication and collaboration.
• Hands-on experience with ML pipelines, CI/CD, monitoring, and retraining; ML tooling.

🎁 Benefits

• Hybrid office culture with 3 office days weekly.
• VSOP stock options and equity participation.
• Mentorship programs and ERGs.
• LinkedIn Learning access for growth.
• Eight hours of paid volunteering.
• Learning and development focused culture.